Decision Support
Genomic medicine researchers at the laboratory have been using artificial intelligence, developed as part of Microsoft's Project Hanover, to help manage the vast amount of research data needed to power its precision oncology initiatives.
The leading-edge technology could provide vastly faster power and processing speeds, and enable fundamentally different algorithmic search and data homogenization strategies.
SPONSORED
|
08:57 pm |
October 27, 2019
|
08:57 pm |
October 27, 2019
Experienced professionals in the area of nursing informatics from Singapore recently shared their lessons learnt at the Hillrom Dialogue Series.
The edge computing technology's neural network algorithms can help drive workflow efficiency, detect gaps in care and deliver real-time intelligent notifications to staff, the AI developers say.
More than 30% of the health system’s employees have signed up for a precision medicine program that helps get predictive genomics data straight to frontline caregivers.
Its care innovations have helped nurses spend 3,000 more hours at the bedside – leading to a 58% improvement in care efficiency and a 19% reduction in HAIs.
The technology examines vital signs and other biomarkers to predict the likelihood of infection up to 48 hours ahead of clinical suspicion.
LIFE St. Mary hospital uses Tabula Rasa HealthCare’s pharmacy platform, which has helped lead to a 16% decrease in ER use and a 27% decrease in total hospitalization.
The decision support tool brings holistic data to the clinical team via predictive analytic modeling, while also automating all the data points to help clinicians make optimal interventions.
The results from a coronary CTA, with the help of the vendor’s highly specialized technology, allow Prairie Heart Institute experts to facilitate a more customized approach to the care and management of their patients.